3 research outputs found
DMLR: Data-centric Machine Learning Research -- Past, Present and Future
Drawing from discussions at the inaugural DMLR workshop at ICML 2023 and
meetings prior, in this report we outline the relevance of community engagement
and infrastructure development for the creation of next-generation public
datasets that will advance machine learning science. We chart a path forward as
a collective effort to sustain the creation and maintenance of these datasets
and methods towards positive scientific, societal and business impact.Comment: This editorial report accompanies the inaugural Data-centric Machine
Learning Research (DMLR) Workshop that took place at ICML 2023
https://dmlr.ai
Radiation-Hard Complementary Integrated Circuits Based on Semiconducting Single-Walled Carbon Nanotubes
Increasingly
complex demonstrations of integrated circuit elements
based on semiconducting single-walled carbon nanotubes (SWCNTs) mark
the maturation of this technology for use in next-generation electronics.
In particular, organic materials have recently been leveraged as dopant
and encapsulation layers to enable stable SWCNT-based rail-to-rail,
low-power complementary metal-oxide-semiconductor (CMOS) logic circuits.
To explore the limits of this technology in extreme environments,
here we study total ionizing dose (TID) effects in enhancement-mode
SWCNT-CMOS inverters that employ organic doping and encapsulation
layers. Details of the evolution of the device transport properties
are revealed by <i>in situ</i> and <i>in operando</i> measurements, identifying <i>n</i>-type transistors as
the more TID-sensitive component of the CMOS system with over an order
of magnitude larger degradation of the static power dissipation. To
further improve device stability, radiation-hardening approaches are
explored, resulting in the observation that SWNCT-CMOS circuits are
TID-hard under dynamic bias operation. Overall, this work reveals
conditions under which SWCNTs can be employed for radiation-hard integrated
circuits, thus presenting significant potential for next-generation
satellite and space applications